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estimate_audience_size

Estimate daily audience reach for a targeting specification. Provide ad account ID and targeting JSON to get lower and upper bound reach estimates.

Instructions

Estimate audience reach for a targeting specification.

Returns estimated daily reach (lower/upper bounds) for the given targeting spec on the specified account.

Args: account_id: Ad account ID (e.g., 'act_123456789'). targeting_json: JSON string of targeting spec. Example: '{"geo_locations":{"countries":["GR"]},"age_min":25,"age_max":55}'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYes
targeting_jsonYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries the full burden. It describes the tool as estimating reach, which is non-destructive, but does not explicitly confirm it is a read-only operation. The behavioral traits are implied but not fully disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: two sentences plus an Args section. It is front-loaded with the primary purpose and provides necessary details without extraneous text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple estimation tool, the description covers purpose, parameters, and return values (daily reach bounds). It lacks discussion of error conditions or edge cases, but overall is sufficient given the tool's simplicity and no output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description compensates well by explaining account_id with an example format and targeting_json with a JSON string example. This adds substantial meaning beyond the schema alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool estimates audience reach for a targeting specification and returns daily reach bounds. It uses specific verbs and resources, distinguishing it from sibling tools that manage ads or accounts.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use for estimating audience size given a targeting spec and account, but does not explicitly state when to use this tool versus alternatives or when not to use it. No exclusions or comparisons are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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